| library_name: ml-agents | |
| tags: | |
| - SoccerTwos | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-SoccerTwos | |
| - ml-agents | |
| # **poca** Agent playing **SoccerTwos** | |
| This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). | |
| ## Usage (with ML-Agents) | |
| The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ | |
| We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: | |
| - [Deep RL Course Unit 7](https://huggingface.co/learn/deep-rl-course/unit7/introduction) | |
| ### Resume the training | |
| ```bash | |
| mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume | |
| ``` | |
| ### Watch your Agent play | |
| You can watch your agent **playing directly in your browser:** | |
| 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos | |
| 2. Step 1: Find your model_id: `umesh251/poca-SoccerTwos` | |
| 3. Step 2: Select your `SoccerTwos.onnx` file | |
| 4. Click on **Watch the agent play 👀** | |